Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Shoji Hayakawa, Jiqing Han. Furcax: End-to-end Monaural Speech Separation Based on Deep Gated (De)convolutional Neural Networks with Adversarial Example Training. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019. pages 6985-6989, IEEE, 2019. [doi]
@inproceedings{ShiLLLHH19,
title = {Furcax: End-to-end Monaural Speech Separation Based on Deep Gated (De)convolutional Neural Networks with Adversarial Example Training},
author = {Ziqiang Shi and Huibin Lin and Liu Liu and Rujie Liu and Shoji Hayakawa and Jiqing Han},
year = {2019},
doi = {10.1109/ICASSP.2019.8682429},
url = {https://doi.org/10.1109/ICASSP.2019.8682429},
researchr = {https://researchr.org/publication/ShiLLLHH19},
cites = {0},
citedby = {0},
pages = {6985-6989},
booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019},
publisher = {IEEE},
isbn = {978-1-4799-8131-1},
}